{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e6afd202",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import cv2\n",
    "from tqdm import tqdm\n",
    "from pathlib import Path\n",
    "from PIL import Image\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9544c7c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['人参果',\n",
       " '佛手瓜',\n",
       " '哈密瓜',\n",
       " '圣女果',\n",
       " '山楂',\n",
       " '山竹',\n",
       " '无花果',\n",
       " '木瓜',\n",
       " '李子',\n",
       " '杏',\n",
       " '杨桃',\n",
       " '杨梅',\n",
       " '枇杷',\n",
       " '枣',\n",
       " '柚子',\n",
       " '柠檬',\n",
       " '柿子',\n",
       " '树莓',\n",
       " '桂圆',\n",
       " '桑葚',\n",
       " '梨',\n",
       " '椰子',\n",
       " '榴莲',\n",
       " '樱桃',\n",
       " '橘子',\n",
       " '毛丹',\n",
       " '水蜜桃',\n",
       " '沃柑',\n",
       " '沙果',\n",
       " '沙棘',\n",
       " '油桃',\n",
       " '牛油果',\n",
       " '猕猴桃',\n",
       " '甘蔗',\n",
       " '甜瓜-伊丽莎白',\n",
       " '甜瓜-白',\n",
       " '甜瓜-绿',\n",
       " '甜瓜-金',\n",
       " '番石榴-百',\n",
       " '番石榴-红',\n",
       " '白兰瓜',\n",
       " '白心火龙果',\n",
       " '白萝卜',\n",
       " '百香果',\n",
       " '石榴',\n",
       " '砂糖橘',\n",
       " '粑粑柑',\n",
       " '红心火龙果',\n",
       " '红苹果',\n",
       " '羊奶果',\n",
       " '羊角蜜',\n",
       " '胡萝卜',\n",
       " '脐橙',\n",
       " '腰果',\n",
       " '芒果',\n",
       " '芦柑',\n",
       " '草莓',\n",
       " '荔枝',\n",
       " '莲雾',\n",
       " '菠萝',\n",
       " '菠萝莓',\n",
       " '菠萝蜜',\n",
       " '葡萄-白',\n",
       " '葡萄-红',\n",
       " '蓝莓',\n",
       " '蛇皮果',\n",
       " '蟠桃',\n",
       " '血橙',\n",
       " '西柚',\n",
       " '西梅',\n",
       " '西瓜',\n",
       " '西红柿',\n",
       " '车厘子',\n",
       " '酸角',\n",
       " '金桔',\n",
       " '青柠',\n",
       " '青苹果',\n",
       " '香橼',\n",
       " '香蕉',\n",
       " '黄桃',\n",
       " '黑莓']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 指定数据集路径\n",
    "dataset_path =r'C:\\Users\\24566\\Desktop\\cv\\fruit81_full_2\\fruit81_full'\n",
    "# os.chdir(dataset_path) # 切换到指定目录，只运行一次\n",
    "os.listdir(dataset_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d19b779c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 81/81 [01:11<00:00,  1.13it/s]\n"
     ]
    }
   ],
   "source": [
    "df = pd.DataFrame()\n",
    "\n",
    "\n",
    "for fruit in tqdm(os.listdir(dataset_path)): # 遍历每个类别  \n",
    "    for file in os.listdir(os.path.join(dataset_path, fruit)): # 遍历每张图像\n",
    "        img = Path(os.path.join(dataset_path,fruit)) / file # 获取图像路径\n",
    "        image = Image.open(img) # 读取图像\n",
    "        img = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)\n",
    "        df = pd.concat([df, pd.DataFrame({'fruit': fruit, 'width': img.shape[1], 'height': img.shape[0]}, index=[0])],ignore_index=True)      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "17fa3b04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>fruit</th>\n",
       "      <th>width</th>\n",
       "      <th>height</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>人参果</td>\n",
       "      <td>500</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>人参果</td>\n",
       "      <td>500</td>\n",
       "      <td>329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>人参果</td>\n",
       "      <td>749</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>人参果</td>\n",
       "      <td>500</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>人参果</td>\n",
       "      <td>300</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14428</th>\n",
       "      <td>黑莓</td>\n",
       "      <td>750</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14429</th>\n",
       "      <td>黑莓</td>\n",
       "      <td>700</td>\n",
       "      <td>467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14430</th>\n",
       "      <td>黑莓</td>\n",
       "      <td>500</td>\n",
       "      <td>482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14431</th>\n",
       "      <td>黑莓</td>\n",
       "      <td>667</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14432</th>\n",
       "      <td>黑莓</td>\n",
       "      <td>600</td>\n",
       "      <td>476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14433 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      fruit  width  height\n",
       "0       人参果    500     500\n",
       "1       人参果    500     329\n",
       "2       人参果    749     500\n",
       "3       人参果    500     500\n",
       "4       人参果    300     200\n",
       "...     ...    ...     ...\n",
       "14428    黑莓    750     500\n",
       "14429    黑莓    700     467\n",
       "14430    黑莓    500     482\n",
       "14431    黑莓    667     500\n",
       "14432    黑莓    600     476\n",
       "\n",
       "[14433 rows x 3 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5ae0660c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(14433,)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1200x1200 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m在当前单元格或上一个单元格中执行代码时 Kernel 崩溃。\n",
      "\u001b[1;31m请查看单元格中的代码，以确定故障的可能原因。\n",
      "\u001b[1;31m单击<a href='https://aka.ms/vscodeJupyterKernelCrash'>此处</a>了解详细信息。\n",
      "\u001b[1;31m有关更多详细信息，请查看 Jupyter <a href='command:jupyter.viewOutput'>log</a>。"
     ]
    }
   ],
   "source": [
    "from scipy.stats import gaussian_kde\n",
    "from matplotlib.colors import LogNorm\n",
    "\n",
    "x = df['width']\n",
    "y = df['height']\n",
    "\n",
    "xy = np.vstack([x,y]) # 将x和y合并成二维数组,x为第一行，y为第二行\n",
    "z = gaussian_kde(xy)(xy) # 计算高斯核密度估计, 返回一个一维数组，表示每个点的核密度估计值\n",
    "print(z.shape)\n",
    "# argsort() 是 对数组进行排序，返回的内容是一个一维数组，表示每个元素的索引位置，\n",
    "# 如z中最小值所在的位置是741，也就是idx[0]\n",
    "idx = z.argsort()\n",
    "\n",
    "x, y, z = x[idx], y[idx], z[idx]\n",
    "\n",
    "plt.figure(figsize=(12,12))\n",
    "plt.scatter(x, y, c=z,  s=5, cmap='Spectral_r')\n",
    "plt.colorbar() # 添加颜色条\n",
    "# plt.xticks([])\n",
    "# plt.yticks([])\n",
    "\n",
    "plt.tick_params(labelsize=15)\n",
    "\n",
    "# xy_max = max(max(df['width']), max(df['height']))\n",
    "# plt.xlim(xmin=0, xmax=xy_max)\n",
    "# plt.ylim(ymin=0, ymax=xy_max)\n",
    "\n",
    "plt.ylabel('height', fontsize=25)\n",
    "plt.xlabel('width', fontsize=25)\n",
    "\n",
    "# plt.savefig('图像尺寸分布.pdf', dpi=120, bbox_inches='tight') # dpi=120表示图片的分辨率为120dpi\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
